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Pursuing a PhD. degree in Geophysics, Rice University 2011-present
Master of Science in Geophysics, University of Utah 2009-2011Concentration: Forward modeling and inversion of electromagnetic problems
Bachelor of Science, University of Science and Technology of China 2005-2009Major: Geophysics
EDUCATION
Lei Fu
INTERESTS Full waveform inversion, mathematical and computational methods to study seismic theory and data processing, and geology
Rice University Department of Earth Science Cell: (713) 586-9211 E-mail: [email protected]
Programming languages: Unix, C, Matlab, FORTRANSoftware: ProMAX, SeisWorks 3D, Groundwater Modeling System (GMS)
SKILLS
RESEARCH Study of the induced polarization effect in time domain using Cole-Cole and GEMTIP models (M.S. thesis)Computer Simulation of the Marine Horizontal Loop Transmitter CSEM and MT Surveys over the Oil Deposit3-D marine controlled-source electromagnetic (MCSEM) IP InversionUndergraduate thesis “Fast Marching Method in Polar coordinates”Theoretical Calculation of the Earth’s Toroidal Free Oscillations, Institute of Geodesy and Geophysics, Chinese Academy of Sciences (IGGCAS).
2011
2010
200920092008
Induced polarization effect in time domain: theory, modeling and applications
Lei Fu, Vladimir Burtman, Michael S. Zhdanov
CEMI, University of Utah
Outline1. Introduction2. Induced polarization effect3. Cole-Cole model and GEMTIP model4. Inversion of the time-domain GEMTIP model
4.1 Two-phase model4.2 Two-phase model with 2% random noise 4.3 Three-phase model
5. Experimental analysis of rock samples6. Conclusion
Introduction
1. Introduction
Induced polarization (IP) phenomenon has long been observed in electromagnetic data.
Pelton et al. (1978) empirically introduced the Cole-Cole relaxation model, which has provided a useful framework for the interpretation of EM and IP data over the past 30 years.
Zhdanov (2008) introduced the Generalized Effective Medium Theory for Induced Polarization (GEMTIP).
Induced polarization effectIP is caused by complex electrochemical reactions thataccompany current flow (Frasier,1964):
1) Surface polarization of disseminated minerals in a host rock
2) Sketch of the potential waveform for a current injected into nonpolarizable
and polarizable ground.
Cole-Cole Modelτ
⎟⎟⎠
⎞⎜⎜⎝
⎛⎟⎟⎠
⎞⎜⎜⎝
⎛−+
−−= CDC im
)(1111)(ωτ
ρωρ
(Emond, 2007)
Frequency domain resistivity Time domain resistivity
Time domain resistivity
GEMTIP model
10 mm
Name: quartz monzonite porphyry (QMP)Minerals: quartz, feldspar, pyrite,
chalcopyrite, (biotite)
5% chalcopyrite
The initial goal is to construct the realistic electrical models of the rocks based on the effective medium theory of the multi-phase composite media.
In order to obtain a time domain resistivity curve, one should apply the inverse Fourier transform:
Two-phase time-domain GEMTIP model
∫∞
∞−
= ωωρπ
ρ ω det tiee )(21)(
( )
( )1
1
/1
011
11
01
101
1
1110
2,2
3
1111)(
C
Ce
am
imf
⎥⎦
⎤⎢⎣
⎡+=
+−
=
⎟⎟⎠
⎞⎜⎜⎝
⎛⎟⎟⎠
⎞⎜⎜⎝
⎛+
−+=−
ρρα
τρρρρ
ωτρωρ
Two-phase frequency domain spherical GEMTIP model:
Effects of grain radius (a)
Variable
Unit Value
ρm Ωm 500
f - 0.02
C - 0.7
ρ1 Ωm 1
α 0.1cl
msec
2⋅Ω
Numerical solution for two-phase heterogeneous model:
Effects of volume fraction (f)
Variable
Unit Value
ρm Ωm 500
a mm 0.1
C - 0.7
ρ1 Ωm 1
α 0.1cl
msec
2⋅Ω
Numerical solution for two-phase heterogeneous model:
Inversion of the time-domain GEMTIP Model
Inversion of the time-domain GEMTIP model
Tikhonov parametric functional
where d is observed data; m is model parameter; A is a forward modeling operator.
where
is a misfit functional
( )d A m=v uv
2||( ) ||m Am dφ = −uv uv v
1 ( )d mA− =v uv
Regularized conjugate gradient (RCG) method
min)()()( ⇒+= msmmP vvv βφ
is a stabilizing functional
is a regularization parameter
)(ms v
β
Variable
Units True model
Initi-al
Reco-vered
ρm Ωm 100 - -
f - 0.05 - -
C - 0.5 0.1 0.50
ρ1 Ωm 0.1 - -
a mm 2 - -
α 0.4 0.1 0.40cl
msec
2⋅Ω
Iteration number: 100
Misfit: 0.1%
4.1 Inversion for two-phase GEMTIP model
Misfit functional map
Variable
Units True model
Initi-al
Reco-vered
ρm Ωm 100 - -
f - 0.05 - -
C - 0.5 0.1 0.52
ρ1 Ωm 0.1 - -
a mm 2 - -
α 0.4 0.1 0.41cl
msec
2⋅Ω
Iteration number: 100
Misfit: 0.3%
4.2 GEMTIP (2% random noise)
Misfit functional map (2% noise)
Iteration: 91
Misfit: 0.02%
4.3 Inversion of three-phase GEMTIP model
Iteration: 114
Misfit: 1%
Frequency-domain inversion of three-phase GEMTIP model
Experimental analysis of rock samples
Zonge CR system:
GDP16 receiver; LTD10 transmitter
Sample #13Sar Cheshmeh copper porphyry deposit in Iran The reflective spots are chalcopyrite and pyrite inclusions. All sulfides are introduced during vein formation.
QEMSCAN
5.2 Sample #13Time domain
Frequency domain
5.2 Sample #13
α
a: misfit functional in time domain
b: misfit functional in frequency domain
variable Units Initial model
Timeresult
Freqresult
TD & FDdifference
ρm Ωm 163 - -
f - 0.05 - -
C - 0.1 0.58 0.52 10.3%
ρ1 Ωm 0.1 - -
a mm 0.002 - -
α 0.1 0.46 0.39 15.2%
Conclusion
• I have extended the basic principles of the general effective medium theory of induced polarization (GEMTIP) from the frequency domain to the time domain.
• I have simulated the time-domain resistivity responses for two and three phase heterogeneous media. The IP parameters manifest themselves as peaks in the complex resistivity spectra, or as slopes of the resistivity transients.
• The inversion of synthetic resistivity transients demonstrates that it is possible to discriminate multiple parameters for different mineral inclusions.
Thank you!
Pursuing a PhD. degree in Geophysics, Rice University 2011-present��Master of Science in Geophysics, University of Utah 2009-2011�Concentration: Forward modeling and inversion of electromagnetic problems��Bachelor of Science, University of Science and Technology of China 2005-2009�Major: GeophysicsInduced polarization effect in time domain: theory, modeling and applicationsOutlineSlide Number 41. IntroductionInduced polarization effectCole-Cole ModelGEMTIP modelSlide Number 9Slide Number 10Slide Number 11Slide Number 12Slide Number 13Slide Number 14Slide Number 15Slide Number 16Slide Number 17Slide Number 18Slide Number 19Slide Number 20Slide Number 21Slide Number 22Slide Number 23Slide Number 24ConclusionSlide Number 26